Department of Computer Science & Engineering

Computer Science and Engineering (CSE)

The Department of Computer Science & Engineering at KHIT provides a strong foundation in computing, programming, software development and core areas of computer science. The programme is designed to build technical understanding while giving students opportunities to apply their learning through laboratory work, projects and practical problem-solving.

Students explore areas relevant to the evolving technology landscape while developing the skills required for software and computing careers. Through academic learning, practical experience and exposure to current technologies, the department supports students in preparing for professional opportunities, higher education and further learning in Computer Science & Engineering.

Faculty Members

0 +

Students

0 +

Laboratories

0 +

Publications

0 +

HOD's MESSAGE

A Message from the Head of Department

Our students excel in academics, research, innovation, sports, entrepreneurship, and national competitions, making a meaningful impact both on campus and beyond.

Dr. G. J. Sunny Deol

Professor & Head of Department

Department of Computer Science & Engineering

Computer Science is a field that continues to expand in scope and possibility. Our endeavour is to keep the curriculum contemporary and connected to industry, while encouraging innovation and research. We want students to look beyond prescribed learning, strengthen their technical abilities and confidently pursue their interests within the field.

Vision Statement

To be recognized as a leader in Computer Science and Engineering, fostering innovation, research, and technical excellence to produce globally competent professionals capable of addressing complex computational challenges and contributing to societal progress.

Mission Statement

To provide a robust foundation in Computer Science and Engineering by integrating both theoretical and practical dimensions while delivering quality education that aligns with global standards.
To equip students with advanced technical and professional skills, enabling them to excel as software developers, researchers, and lifelong learners.
To cultivate ethical behavior, leadership qualities, and a commitment to societal well-being among students.
To advance the frontiers of knowledge through state-of-the-art research and innovation, creating a vibrant ecosystem for addressing contemporary computational challenges

B.Tech - Computer Science & Engineering

Program Outcomes

POs are statements that describe what students are expected to know and be able to do upon completion of the program. These relate to the skills, knowledge, attitude and analytical ability and behavior that students acquire through the program.

PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop solutions to complex engineering problems..

PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for:
i) independent and life-long learning
ii) adaptability to new and emerging technologies and
iii) critical thinking in the broadest context of technological change.

Program Educational Outcomes

PO1: Exhibit strong foundation of knowledge and skills in computer science and engineering, equipped to address complex challenges and contribute to the advancement of technology in a rapidly evolving world.

PO2: Apply engineering principles and advanced computer science knowledge to collaborate and design innovative software solutions, integrating emerging technologies to meet industry and societal needs.

PO3:Communicate effectively, demonstrate professionalism, collaboration, ethical attitude, team spirit and pursue lifelong learning to achieve career, organizational and societal goals.

Program Specific Outcomes

PO1: Graduates are able to apply fundamental and advanced knowledge of computer science and engineering to identify, analyse and develop computational solutions for complex engineering and societal problems using innovative approaches

PO2: Graduates are able to design and develop efficient computational systems by integrating research based domain knowledge and modern tools, transforming ideas into technologically viable and innovative solutions while addressing emerging challenges.

PO3: Graduates are able to demonstrate the ability to function effectively as individuals or as collaborative team members and leaders in multidisciplinary environments, upholding professional ethics and fostering innovation to enhance research capabilities and lifelong learning.

Curriculum

Click on a course name below for viewing the course description and course outcomes.

1st semester

1ST YEAR

I Semester

22 Credits

S.No.	Course Category	Course Code	Course Title	L	T	P	Credits
1	HSM	—	English for Technical Communication	3	0	0	3
2	BSC	—	Linear Algebra and Calculus	3	0	0	3
3	BSC	—	Physics for advanced Computing	3	0	0	3
4	ESC	—	C and Data Structures	4	0	0	4
5	BSC	—	Applied Chemistry for Emerging Technologies	3	0	0	3
6	HSM	—	English for Technical Communication and MOODLE laboratory	0	0	3	1.5
7	BSC	—	Physics for Advanced Computing Lab	0	0	3	1.5
8	ESC	—	C and Data Structures Lab	0	0	3	1.5
9	BSC	—	Applied Chemistry for Emerging Technologies Lab	0	0	3	1.5
10	MNC	—	Universal Human Values	2	0	0	0
Total				15	1	15	22

2nd Semester

1ST YEAR

II Semester

20 Credits

S.No.	Course Category	Course Code	Course Title	L	T	P	Credits
1	BSC	—	Differential Equations and Vector Calculus	3	0	0	3
2	ESC	—	AI Tools and Applications	0	1	3	2.5
3	ESC	—	Computational Thinking and Problem Solving using Python	3	0	0	3
4	ESC	—	Digital Logic Design	3	0	0	3
5	ESC	—	Design Thinking and Innovation	0	1	3	2.5
6	ESC	—	Basic Electrical and Electronics Engineering	3	0	0	3
7	ESC	—	Computational Thinking and Problem Solving using Python Lab	0	0	3	1.5
8	ESC	—	IT and Electronics Workshop	0	0	3	1.5
9	MNC	—	NSS/NCC	0	0	2	0
Total				15	1	11	20

1st semester

2ND YEAR

III Semester

21 Credits

S.No.	Course Category	Course Code	Course Title	L	P	Credits
1	BSC	—	Discrete Mathematics / Optimization Techniques	3	0	3
2	HSM	—	Engineering Economics and Financial Analysis	3	0	3
3	PCC	—	Computer Organization	3	0	3
4	PCC	—	Object Oriented Programming using Java	3	0	3
5	PCC	—	Database Management Systems	3	0	3
6	PEC	—	Principles of Artificial Intelligence	0	3	1.5
7	PCC	—	Database Management Systems Lab	0	3	1.5
8	PCC	—	OOPs Using Java Lab	0	3	1.5
9	PCC	—	AI Lab	0	3	1.5
10	MNC	—	Environmental Studies	2	0	0
Total				17	12	21

2nd semester

Courses

S.No.	Course Category	Course Code	Course Title	L	P	Credits
1	BSC	—	Probability and Statistics	3	0	3
2	PCC	—	Operating Systems	3	0	3
3	PCC	—	Automata Theory and Compiler Design	3	0	3
4	PCC	—	Computer Networks	3	0	3
5	PCC	—	Design and Analysis of Algorithms	3	0	3
6	PEC	—	Mobile App Development	0	3	1.5
7	PCC	—	CN Lab	0	3	1.5
8	PCC	—	OS Lab	0	3	1.5
9	PCC	—	DAA Lab / CD Lab	0	3	1.5
10	MNC	—	Research Methodology	0	2	0
Total				15	14	21

Professional Elective

Mobile App Development

A minimum of 6 to 8-Week SWAYAM+ course on Mobile App Development. Student can choose any one of the following:

Flutter
Android
Reactive native
Hybrid app development using Technologies like HTML5, CSS3 and Java Script.

Mobile App Development using Flutter (off line offered by the Department)

Note: If the course is not available online, then offer the same course through offline.

1st semester

Courses

S.No.	Course Category	Course Code	Course Title	L	T	P	Credits
1	PCC	—	Cyber Security	3	0	0	3
2	PCC	—	Data warehousing and data mining	3	0	0	3
3	PCC	—	Software Engineering Principles and Practices	3	0	0	3
4	PEC	—	Professional Elective-1 (OnLine)	3	0	0	3
5	PEC	—	Professional Elective-2 (OnLine)	3	0	0	3
6	OEC	—	Open Elective-1	1	0	0	1
7	PCC	—	Data warehousing and data mining Lab	0	0	3	1.5
8	PCC	—	Full stack Technologies Lab	0	0	3	1.5
9	IPW	—	Evaluation of industry Internship/CSP/Mini Project*	0	0	0	2
10	MNC	—	Indian Constitution	—	—	0	—
Total				16	0	6	21

Professional Elective -1

Professional Elective-1

Professional Elective-1 (OnLine)
- Wiser course-1
- IBM courses-1
- Swayam/NPTEL 12-week course
(or)-Offline

Professional Elective -2

Professional Elective-2

Professional Elective-2 (OnLine)
- Wiser course-2
- IBM courses-2
- Swayam/NPTEL 12-week course
(or)-Offline
- Agile Methodologies

Open Elective-1

Open Elective

2nd semester

Courses

S.No.	Course Category	Course Code	Title	L	T	P	Credits
1	PCC	—	Machine Learning Principles and Practices	3	0	0	3
2	PCC	—	Information Security and Cryptography	3	0	0	3
3	PCC	—	Cloud Computing	3	0	0	3
4	PEC	—	Professional Elective-3 (OnLine)	3	0	0	3
5	PEC	—	Professional Elective-4 (OnLine)	3	0	0	3
6	OEC	—	Open Elective-2/SWAYAM/NPTEL 8week MOOC	2	0	0	2
7	PCC	—	Machine Learning Techniques Lab	0	0	3	1.5
8	PCC	—	Information Security & Cryptography Lab	0	0	3	1.5
9	OEC	—	Open Elective-3	1	0	0	1
10	MNC-6	—	Essence of Indian Traditional Knowledge	—	—	—	—
Total				18	—	6	21

Professional Elective 3

Professional Elective-3

Wisercourse-3
IBMcourses-3
Swayam/NPTEL12-weekcourse

Professional Elective -4

Professional Elective-4

Professional Elective-4 (OnLine)

IBMcourses-4
Swayam/NPTEL12-weekcourse

(or)-Offline

- Ethical Hacking and Penetration Testing
- Block Chain Technology

Open Elective-2

Open Elective

Open Elective-2/SWAYAM/NPTEL 8week MOOC

Open Elective-3

Note :- Industry Internship/Mini Project of 06 weeks duration during summer vacatione

1st semester

Courses

S.No.	Course Category	Course Code	Title	L	P	Credits
1	PCC	—	Internet of Things: Principles and Applications	3	0	3
2	PCC	—	Deep Learning	3	0	3
3	PEC	—	Professional Elective-7	3	0	3
4	PEC	—	Professional Elective-8	3	0	3
5	PEC	—	Professional Elective-9	3	0	3
6	PEC	—	Professional Elective-10	0	2	1
7	OEC	—	Open Elective-4	2	0	2
8	OEC	—	Open Elective-5	2	0	1
9	IPW	—	Evaluation of Industry Internship/Mini Project	0	0	2
Total				19	2	21

Professional Elective 7

Professional Elective-7

- Software Architecture and Design Patterns
- Generative AI
- Artificial Intelligence and Neural Networks
- Cyber Physical Systems
- Swayam/NPTEL related course

Professional Elective -8

Professional Elective-8

NoSQL Databases
Introduction to LLM
Reinforcement Learning
Blockchain Technologies
Swayam/NPTEL related course

Professional Elective -9

Professional Elective-9

Software Quality Assurance and Testing
AI Agents and Agentic AI
Natural Language Processing
Digital Forensics
Swayam/NPTEL related course

Professional Elective -10

Professional Elective-10:

Soft skills & Employability offered by Swayam Plus

Open Elective-4

Open Elective-5

*Includes evaluation of mini project

2nd semester

S.No.	Course Category	Course Code	Title	L	T	P	Credits
1	OEC	—	Open Elective 6/SWAYAM/NPTEL 12 week course	3	0	0	3
2	OEC	—	Open Elective 7/SWAYAM/NPTEL 8 week course	2	0	0	2
3	IPW	—	Project work / Industry Internship	—	—	—	12
Total				5	0	0	17

M.Tech - Computer Science & Engineering

Diploma - Computer Science & Engineering

Meet Our Expert Faculty

Our experienced faculty members are dedicated to academic excellence, research, innovation, and mentoring students for successful careers..

LABORATORIES

Explore Our Computer Science & Engineering Laboratories

Dedicated laboratories give students hands-on experience with AI platforms, computational tools and real-world applications through experimentation and project work

DBMS Lab & OS Lab

CNS Lab & CC Lab

Programming in C Lab & Data Structures Lab

OS Lab & SEC Lab

Slide 1 Heading

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor

Slide 2 Heading

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor

Slide 2 Heading

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor

Slide 3 Heading

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor

Slide 3 Heading

Lorem ipsum dolor sit amet consectetur adipiscing elit dolor

Pioneers of Research and Innovation

Publication Count

0 +

Patents Filed

0 +

Funding projects

0 +

Granted Files

0 +

TOP RECRUITERS

Trusted by Leading Industry Partners

Our students are recruited by renowned national and multinational companies across diverse industries.

Trusted by Leading Recruiters

0 +

Placement Rate

0 +

Average Package

0 +

Recruiting Companies

0 LPA

Highest Package

STUDENT SUCCESS

Celebrating Student Achievements

Our students excel in academics, research, innovation, sports, entrepreneurship, and national competitions, making a meaningful impact both on campus and beyond.